Product Manager, Risk Automation

Block is a company that builds simple, powerful tools aimed at creating an open economy for all. As a Product Manager for Risk Automation, you will drive the vision and execution of AI-powered products that enhance automation and efficiency in risk and compliance workflows, collaborating closely with cross-functional teams.

Responsibilities:

• Own the strategy and roadmap for AI-powered products and capabilities
• Identify AI opportunities grounded in user needs and measurable business value
• Translate ambiguous problem spaces into clear product requirements
• Work closely with ML engineers, data scientists, and researchers on model goals, data needs, evaluation methods, and quality gates
• Build and run experiments to validate hypotheses and iterate quickly
• Define how the product should behave across success, failure, and edge cases
• Establish metrics for accuracy, safety, latency, reliability, and UX satisfaction
• Partner with design on intuitive, transparent, and safe human-AI interactions
• Collaborate with legal, security, and compliance teams to ensure responsible AI practices
• Lead cross-functional execution from concept through launch and iteration

Requirements:

• 6-9 years of product management experience including a proven track record launching successful AI or ML driven products
• Strong technical intuition about ML models, training loops, evaluation, prompt design, data pipelines, and real-time inference constraints
• Experience designing and running structured experiments, including A/B tests and offline evaluations
• An ownership mentality with the ability to rapidly drive complex, cross-functional initiatives from strategy through execution at scale
• Excellent communicator, capable of distilling complex technical concepts into clear narratives for executive, operational, and technical audiences. Ability to work across scaled risk, compliance, and operational teams in a regulated industry
• Familiarity with AI quality, safety, and responsible-use frameworks
• Experience with LLMs, multimodal models, or applied generative AI
• Experience building operational tooling that drives cost savings and quality